Healthcare · AI
Healthcare AI Consulting
Practical, HIPAA-aware AI with a human in the loop
No AI tool is HIPAA-compliant on its own. Compliance comes from how a workflow is governed, not from a vendor's label. We deploy AI in healthcare where it genuinely saves time or surfaces something a person would miss, using the minimum necessary data, with a human reviewing anything that carries clinical, financial, or compliance weight.
This page is for you if any of this sounds familiar
Vendors are pitching AI, and nobody internally can assess the compliance risk.
Staff are already pasting patient information into consumer AI tools.
Previous AI pilots demoed well and never reached production.
There is no policy for what AI may and may not touch.
How We Help
Compliance comes from the workflow, not the tool
We design each use case around what data it truly needs, where that data may travel, who reviews the output, and what is logged. A Business Associate Agreement is signed before any work begins, and protected health information never reaches tools not covered by an appropriate agreement. If a use case cannot be done safely, we say so rather than working around it.
Use cases that survive contact with production
Denial and underpayment pattern detection across billing. Plain-language weekly summaries for leadership. Triage and classification so staff work the highest-value items first. Workflow analysis that finds steps being repeated, skipped, or stalled. Unglamorous, measurable, and durable, which is why they last past the pilot.
A human in the loop by design
The AI drafts, retrieves, and suggests. People approve. That boundary is deliberate and non-negotiable anywhere clinical, financial, or compliance judgment is involved, and it is what makes AI safe to actually deploy rather than merely demo.
What You Get
Deliverables, not slideware
AI use cases assessed for value and compliance risk before any build
A signed BAA and documented data-handling boundaries
Workflows that use minimum necessary data with human review at the decision point
A written policy for what AI may and may not touch in your network
Measurable time saved or revenue recovered, not a pilot that stalls
FAQ
Questions answered
Is any AI tool actually HIPAA-compliant?
Not on its own. Compliance is a property of how a tool is deployed and governed: what data it receives, where that data travels, who reviews the output, and what agreements are in place. A vendor claiming their product is HIPAA-compliant is describing a possibility, not a guarantee.
Will AI touch clinical decisions?
No. We deliberately keep AI on the operational and administrative side, where errors are recoverable and a person reviews the output before it matters. Clinical decision support is a different discipline with a different regulatory burden.
What if our staff are already using ChatGPT with patient data?
That is common and worth addressing quickly. We usually start by establishing what is actually happening, then put a sanctioned path and a clear written policy in place, because prohibition alone tends to drive the behavior out of sight rather than stop it.
Do we need clean data before we can use AI?
For most useful use cases, yes, at least in the area the AI touches. AI applied to inconsistent data produces confident, wrong answers faster. That is why the analytics and data strategy work usually comes first.
See what your network's data can do.
Book a free 30-minute call. No cost, no commitment, no jargon, just a clear look at where your data could be saving or earning you more.
Book a Free Strategy CallHIPAA-compliant · BAA with every client · Vendor-neutral · Fixed fees